A positive neighborhood walkability is associated with a higher magnitude of leisure walking in adults upon COVID-19 restrictions: a longitudinal cohort study.

BACKGROUND: Previous cross-sectional and longitudinal observational studies revealed positive relationships between contextual built environment components and walking behavior. Due to severe restrictions during COVID-19 pandemic lockdowns, physical activity was primarily performed within the immediate living area. Using this unique opportunity, we evaluated whether built environment components were associated with the magnitude of change in walking activity in adults during COVID-19 restrictions. METHODS: Data on self-reported demographic characteristics and walking behaviour were extracted from the prospective longitudinal Lifelines Cohort Study in the Netherlands of participants ≥ 18 years. For our analyses, we made use of the data acquired between 2014-2017 (n = 100,285). A fifth of the participants completed the questionnaires during COVID-19 restrictive policies in July 2021 (n = 20,806). Seven spatial components were calculated for a 500m and 1650m Euclidean buffer per postal code area in GIS: population density, retail and service destination density, land use mix, street connectivity, green space density, sidewalk density, and public transport stops. Additionally, the walkability index (WI) of these seven components was calculated. Using multivariable linear regression analyses, we analyzed the association between the WI (and separate components) and the change in leisure walking minutes/week. Included demographic variables were age, gender, BMI, education, net income, occupation status, household composition and the season in which the questionnaire was filled in. RESULTS: The average leisure walking time strongly increased by 127 min/week upon COVID-19 restrictions. All seven spatial components of the WI were significantly associated with an increase in leisure walking time; a 10% higher score in the individual spatial component was associated with 5 to 8 more minutes of leisure walking/week. Green space density at the 500m Euclidean buffer and side-walk density at the 1650m Euclidean buffer were associated with the highest increase in leisure walking time/week. Subgroup analysis revealed that the built environment showed its strongest impact on leisure walking time in participants not engaging in leisure walking before the COVID-19 pandemic, compared to participants who already engaged in leisure walking before the COVID-19 pandemic. CONCLUSIONS: These results provide strong evidence that the built environment, corrected for individual-level characteristics, directly links to changes observed in leisure walking time during COVID-19 restrictions. Since this relation was strongest in those who did not engage in leisure walking before the COVID-19 pandemic, our results encourage new perspectives in health promotion and urban planning.

The Impact of the Built Environment and Social Environment on Physical Activity: A Scoping Review.

This scoping review aims to provide an overview of the current state of physical activity research, focusing on the interplay between built and social environments and their respective influences on physical activity. We comprehensively searched electronic databases to identify relevant studies published between 2000 and 2022. A total of 35 articles have been reviewed based on the research question. The review found that built and social environments influence physical activity, and consideration of people's perceptions of their surroundings can provide further insight. The literature was summarized, and recommendations were made for future research. Findings suggest that interventions targeting built and social environments can promote physical activity effectively. However, limitations in the literature exist, including a need for more standardization in research methods and consistency in measurement tools.

The impact of planning intervention on business development: Evidence from the Netherlands.

There has been a growing research interest in measuring the impact of planning and land-use regulations on housing market outcomes, but parallel development of the evidence base for the business sector has yet to occur. This article examines the impact of planning intervention on the amount of building investment taking place at sites allocated for industrial and business development. Measures that capture different dimensions of planning intervention are incorporated into models of industrial building investment. The models are estimated using a novel micro dataset on permit activity that covers a sample of industrial and business sites in the Netherlands. The results provide evidence of some of the expected negative effects of the regulatory role of planning intervention, but also show that proactive, targeted planning policies exert a significant and positive influence on investment activity. Specifically, policy-induced improvements to the physical environment will stimulate both new construction and refurbishment activity.